st: RE: chow test

I'd like to be wrong, but this kind of very open
question is most unlikely to get a helpful
response. You asked another very open question
yesterday, which has had no response to date, which
seemed inevitable to me at the time.
The difficulty is on two levels.
First, even people who have knowledge here would find
it difficult to know precisely what you want. Presumably
not answers "Yes" or "No".
Second, people don't react well if it seems that someone
is treating the list as a kind of search engine in
which they specify key words and somehow expect to
generate a set of responses.
The kind of question that gets a response here is
when you have a specific difficulty which you
make clear through a concrete example.
Nick
n.j.cox@durham.ac.uk
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu]On Behalf Of Chen, Naijun
> Sent: 08 November 2005 21:36
> To: statalist@hsphsun2.harvard.edu
> Subject: st: chow test
>
>
> I am doing sample selection model analysis. In stata help, it
> says a chow
> test can be used to test if the betas differs across by treatment(the
> selection variable) and then decide which model(Endogeniety model or
> sample selection model) is more efficient.
>
> Is there anyone having experience about the chow test here?
>
> Thanks a lot.
>
> Naijun Chen
>
>
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/